Xinyue Zhang
Orcid: 0000-0002-4243-083XAffiliations:
- Kennesaw State University, Kennesaw, GA, USA
- University of Houston, TX, USA (former)
According to our database1,
Xinyue Zhang
authored at least 33 papers
between 2018 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
-
on orcid.org
-
on dl.acm.org
On csauthors.net:
Bibliography
2024
Bridging Quantum Computing and Differential Privacy: A Survey on Quantum Computing Privacy.
CoRR, 2024
Client Selection in Federated Learning: A Dynamic Matching-Based Incentive Mechanism.
Proceedings of the International Conference on Computing, Networking and Communications, 2024
Proceedings of the IEEE International Conference on Communications, 2024
Proceedings of the IEEE International Conference on Communications, 2024
2023
Metaverse CAN: Embracing Continuous, Active, and Non-Intrusive Biometric Authentication.
IEEE Netw., November, 2023
Data-Driven Transportation Network Company Vehicle Scheduling With Users' Location Differential Privacy Preservation.
IEEE Trans. Mob. Comput., 2023
EEFL: High-Speed Wireless Communications Inspired Energy Efficient Federated Learning over Mobile Devices.
Proceedings of the 21st Annual International Conference on Mobile Systems, 2023
Proceedings of the 12th International Conference on Networks, Communication and Computing, 2023
Proceedings of the IEEE/ACM Conference on Connected Health: Applications, 2023
Proceedings of the 2023 ACM Southeast Conference, 2023
Comparison of Long Short-Term Memory Networks and Temporal Convolutional Networks for Sentiment Analysis.
Proceedings of the 2023 ACM Southeast Conference, 2023
2022
Privacy Preserving Participant Recruitment for Coverage Maximization in Location Aware Mobile Crowdsensing.
IEEE Trans. Mob. Comput., 2022
Energy Efficient Federated Learning over Cooperative Relay-Assisted Wireless Networks.
Proceedings of the IEEE Global Communications Conference, 2022
Proceedings of the 46th IEEE Annual Computers, Software, and Applications Conferenc, 2022
Robust federated learning based on metrics learning and unsupervised clustering for malicious data detection.
Proceedings of the ACM SE '22: 2022 ACM Southeast Conference, Virtual Event, April 18, 2022
2021
Data-Driven Caching With Users' Content Preference Privacy in Information-Centric Networks.
IEEE Trans. Wirel. Commun., 2021
Data-Driven Spectrum Trading with Secondary Users' Differential Privacy Preservation.
IEEE Trans. Dependable Secur. Comput., 2021
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021
A Privacy Preserving Federated Learning Framework for COVID-19 Vulnerability Map Construction.
Proceedings of the ICC 2021, 2021
2020
Proceedings of the 2020 IEEE Wireless Communications and Networking Conference, 2020
Mobile Crowdsensing Task Allocation optimization with Differentially Private Location Privacy.
Proceedings of the 2020 IEEE International Conference on Communications, 2020
Data-Driven Small Cell Planning for Traffic Offloading with Users' Differential Privacy.
Proceedings of the 2020 IEEE International Conference on Communications, 2020
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
2019
Catching All Pokémon: Virtual Reward Optimization With Tensor Voting Based Trajectory Privacy.
IEEE Trans. Veh. Technol., 2019
Data-Driven Small Cell Placement Optimization with Users' Differential Privacy for Wireless NGNs.
Proceedings of the 39th IEEE International Conference on Distributed Computing Systems, 2019
Proceedings of the 2019 IEEE Global Communications Conference, 2019
Participant Recruitment for Coverage-Aware Mobile Crowdsensing with Location Differential Privacy.
Proceedings of the 2019 IEEE Global Communications Conference, 2019
Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019
2018
IEEE Access, 2018
Data-Driven Caching with Users' Local Differential Privacy in Information-Centric Networks.
Proceedings of the IEEE Global Communications Conference, 2018
Data-Driven Optimization for Utility Providers with Differential Privacy of Users' Energy Profile.
Proceedings of the IEEE Global Communications Conference, 2018